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Exploiting matrix factorization to asymmetric user similarities in recommendation systems

Research article (Knowledge-Based Systems, 2015) · cited 73× · AI/ML
academia openalex:W2055515294
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Exploiting matrix factorization to asymmetric user similarities in recommendation systems

Summary

Exploiting matrix factorization to asymmetric user similarities in recommendation systems is a scholarly article[1].

Key Facts

  • Exploiting matrix factorization to asymmetric user similarities in recommendation systems's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Exploiting matrix factorization to asymmetric user similarities in recommendation systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploiting-matrix-factorization-to-asymmetric-user-similarities-in-recommendation-systems
MLA “Exploiting matrix factorization to asymmetric user similarities in recommendation systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploiting-matrix-factorization-to-asymmetric-user-similarities-in-recommendation-systems.
BibTeX @misc{4ortxyz_exploiting-matrix-factorization-to-asymmetric-user-similarities-in-recommendation-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploiting matrix factorization to asymmetric user similarities in recommendation systems}}, year = {2026}, url = {https://4ort.xyz/entity/exploiting-matrix-factorization-to-asymmetric-user-similarities-in-recommendation-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploiting matrix factorization to asymmetric user similarities in recommendation systems — https://4ort.xyz/entity/exploiting-matrix-factorization-to-asymmetric-user-similarities-in-recommendation-systems (retrieved 2026-05-24)

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